docs: def analyze_quality_graph(self, obj):
          """ Takes in an the object returned by the MDAL query, and analyzes the quality 
          of the data for each column in the df in the form of graphs. The Graphs returned
          show missing data events over time, and missing data frequency during each hour
          of the day
  
          To Do
          -----
          Need to make it specific for varying meters and label it for each type,
          Either separate functions or make the function broader
  
          Parameters
          ----------
          obj             : ???
              the object returned by the MDAL Query
  
          """
  
          data = obj.df
  
          for i in range(data.shape[1]):
  
              data_per_meter = data.iloc[:, [i]]  # need to make this work or change the structure
  
              data_missing, meter = self.identify_missing(data_per_meter)
              percentage = data_missing.sum() / (data.shape[0]) * 100
  
              print('Percentage Missing of ' + meter + ' data: ' + str(int(percentage)) + '%')
              data_missing.plot(figsize=(18, 5), x_compat=True, title=meter + " Missing Data over the Time interval")
              data_gaps = self.diff_boolean(data_missing, column_name=meter)
  
              data_missing['Hour'] = data_missing.index.hour
              ymax = int(data_missing.groupby('Hour').sum().max() + 10)
              data_missing.groupby('Hour').sum().plot(ylim=(0, ymax), figsize=(18, 5),
                                                      title=meter + " Time of Day of Missing Data")
  
              print(data_gaps)